ABSTRACT
The previous chapter described networks that attempt to make predictions of the future. But understanding trends and impacts of those trends might have is only one of several types of applications. This chapter discusses the major class of neural network based on applications such as data classification and data association. Another network type described in this chapter is data conceptualization. Implementations of these networks using MATLAB Neural Network Tool box are also discussed. Customers might exist within all classifications, yet they might be concentrated within a certain age group and certain income levels. In reality, additional data might stretch and twist the region, which comprises the majority of expected buyers. This process is known as data conceptualization, which includes networks such as Adaptive Resonance Theory network and Self Organizing Feature Maps.
